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---
dataset_info:
features:
- name: caption
dtype: string
- name: image
dtype: image
splits:
- name: train
num_bytes: 1372144989.6
num_examples: 3960
- name: test
num_bytes: 343036247.4
num_examples: 990
download_size: 1709055735
dataset_size: 1715181237
language:
- en
tags:
- code
size_categories:
- 100B<n<1T
---
# Dataset Card for "BilbaoCaptions"
## Dataset Description
- **Homepage:** https://github.com/TheMrguiller/MUCSI_Modal
- **Repository:** https://github.com/TheMrguiller/MUCSI_Modal
- **Paper:** It is a follow up of the Flamingo model paper
- **Leaderboard:**
- **Point of Contact:** https://github.com/TheMrguiller/MUCSI_Modal
### Dataset Summary
This dataset was collected for a proyect for a master degree in Computation and Intelligent System from University of Deusto. It was done by students and recolected from webpages famous in the Basque Country: Deia and Getimages.
### Supported Tasks and Leaderboards
The dataset is prepared to used it for visual question-answering.
### Languages
The dataset is in english.
## Dataset Structure
### Data Fields
- `Caption`: This field has the description of the image.
- `Image`: This field has the image corresponding to the description.
### Data Splits
The dataset is split in 80% train and 20% test.
## Considerations for Using the Data
The dataset has some flaws regarding to the descriptions. The descriptions sometimes are to specific for a captioning task. There are also to many futbol match data, so it isnt to well balanced. There are also some description that are to generic.
## Additional Information
### Dataset Curators
The curators of this dataset where the students from the Masters degree in Computation and Inteligent Systems from University of Deusto.
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